Turning a resourcing constraint into a delivery model

CONTEXT

UI development and QA output had to scale while a new platform was being built from the ground up, largely with a new team. Around 225 hours per release went into writing test cases by hand, and coverage gaps came with it. Building the platform from scratch demanded extensive design documentation under deadline pressure. And roughly 80% of the team were new engineers, needing heavy onboarding and knowledge facilitation before they could contribute at pace. Delivery and quality had to scale without scaling headcount.

SOLUTION

Synapt Agent Hub, deployed as an agent-led delivery model spanning both QA and engineering workflows.

• Natural-language requirements converted directly into test scenarios, with human review reserved for complex logic

• Project structure, documentation, and boilerplate generated automatically, cutting weeks of manual work to days

• Contextual code guidance and setup help built in, easing ramp-up for a largely new team

• The same agents extending across QA and UI development, rather than separate tooling for each

SPOTLIGHT

1. 01

   Automated test generation

   Requirements converted to test scenarios, with review reserved for complex logic

2. 02

   Automated UI scaffolding

   Project structure, documentation, and boilerplate generated on demand

3. 03

   Guided onboarding

   Contextual code guidance built into the workflow, not delivered as training